Noah Cabral is a software engineer with eight years of hands-on experience building developer-facing systems, currently working on performance at Qualcomm in Hamilton, Ontario. He brings deep interests in compilers, graphics, machine learning, and game engine tech, with practical experience extending an LLVM-based DSL compiler and integrating beta GPU tech at AMD. Noah pairs low-level C++ expertise—maintaining and documenting a 60k-line SDK—with Python/C++ interoperability work that enabled ML model deployment to hardware accelerators. He has led a TensorFlow-based 3D hand reconstruction project and experimented with GANs to generate training data, showing a blend of research-minded experimentation and production focus. Early full-stack scripting and Electron apps for logistics demonstrate his knack for shipping pragmatic tools that improve operations. Colleagues can expect a deliberate engineer who enjoys digging into compilers and graphics while translating complex research into usable developer tooling.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science - BASc, Engineering Physics, Bachelor of Applied Science - BASc, Engineering Physics at Stephen J. R. Smith Faculty of Engineering and Applied Science at Queen's University
Contributions:2 PRs, 101 pushes, 3 branches in 2 years 9 months
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